Jiajia Li is a staff scientist at High Performance Computing group of Pacific Northwest National Laboratory (PNNL). Her current research emphasizes on optimizing tensor algorithms such as tensor decompositions and fundamental tensor operations especially for sparse data by utilizing various parallel architectures and for diverse applications. She is an awardee of Best Student Paper Award at SC18 and Best Paper Finalist at PPoPP19. She has received her Ph.D. degree in Computational Science & Engineering at Georgia Institute of Technology. In the past, she had received a Ph.D. degree from Institute of Computing Technology at Chinese Academy of Sciences, China and a B.S. degree in Computational Mathematics from Dalian University of Technology, China. See her website for more information: http://jiajiali.org.